Dataset opportunity
Tericpower — 工业传感器数据集机会
Tericpower 持有的中等规模工业传感器数据集，可用于预测性维护和异常检测。
Score
77.8
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
56%
Action
收购
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
全球预测性维护市场 = 2025 年为 140.9 亿美元，复合年增长率为 34.14%（来源：Mordor Intelligence）
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权
Buyer persona
工业人工智能与维护优化供应商
Tericpower 持有一个宝贵的工业传感器数据集，其中包含其电池储能系统 (BESS) 站点的时间序列数据。这些丰富的数据流，包括 `iot_data` 和 `industrial_data`，源自 `event_streams` 和 SCADA 系统，提供了开发和训练预测性维护模型所需的精细化运营指标。
预测性维护的全球市场规模巨大，预计到 2025 年将达到140.9 亿美元，复合年增长率 (CAGR) 为 34.14%。[4] 这种高增长表明对此类数据集的需求巨大，尤其是在能源和公用事业领域，该领域预计将以相似的速度增长。[4] 虽然访问需要处理与项目 SPV 相关的数据所有权以及解读电池指标的技术专长，但该数据的稀有性和对优化资产性能的战略价值使其成为复杂 AI 买家的有吸引力的收购目标。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能与特定的项目 SPV（特殊目的实体）相关联；运营数据可能孤立在各个 BESS 站点的 SCADA 系统中；需要技术专长来解读电池化学成分和退化指标。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Tericpower 拥有其七个运行中的电池储能系统 (BESS) 车队的稀有且专有的时间序列数据集。这些数据直接支持预测性维护模型的开发，这是针对工业能源领域的 AI 供应商的关键需求。在一个预计到 2025 年将超过 140 亿美元的市场中，这种独特的运营传感器数据为优化资产性能和防止故障提供了强大的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，工业领域，3 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume58
4 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
AI 买家需求极高，这得益于预测性维护市场的快速增长，该市场正以 34.14% 的 CAGR 扩张。[4]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility62
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility4
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength74
4 种证据类型，4 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
所有权=已拥有，许可=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 个数据需求信号（2 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高，5 个近期外部信号 — 专有数据超出已货币化的部分
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit100
✓ 良好目标 — Tericpower 是一个理想的目标，因为它是一家开发和运营电池储能系统的小型企业，作为副产品生成专有传感器和运营数据，而它目前并不出售这些数据。
- Deep Qualification70
✓ 通过 — Tericpower 开发、拥有和运营 BESS 项目，使得工业传感器数据集的存在具有合理性，但其业务模式是提供能源服务和项目开发，而不是出售数据。由于项目特定的融资结构，数据所有权可能复杂且不明确。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>Les producteurs de biogaz et les vendeurs de gaz fossile réclamaient cette règle du jeu depuis des mois. L’évolution de l’économie du biométhane à partir de 2028 et notamment</p> <p>L’article <a href="https://www.greenunivers.com/2026/06/biomethane-des-cpb-jusquen-2041-un-guichet-ouvert-bientot-ferme-et-beaucoup-de-questions-427854/">Biométhane : des CPB jusqu’en 2041, un guichet ouvert bientôt fermé et beaucoup de questions</a> est apparu en premier sur <a href="https://www.greenunivers.com">GreenUnivers</a>.</p>”
- “<p>Jeune agrégateur d’actifs de production d’électricité renouvelable, Bohr Energie boucle une levée de fonds de série A de 9,5 M€ en fonds propres, après un premier tour de 4 M€ en seed en 2024. Les actionnaires historiques  </p> <p>L’article <a href="https://www.greenunivers.com/2026/06/bohr-energie-collecte-95-me-va-franchir-1-gw-agrege-427457/">Bohr Energie collecte 9,5 M€, va franchir 1 GW agrégé</a> est apparu en premier sur <a href="https://www.greenunivers.com">GreenUnivers</a>.</p>”
- “<p>Electricity demand is climbing at a pace the power industry hasn’t seen in a generation, and the companies trying to feed it with geothermal energy are mostly racing in one direction: drill faster. Ormat Technologies is making a different bet. The company that has built and run geothermal plants for six decades thinks the constraint […]</p> <p>The post <a href="https://www.powermag.com/ormat-bets-on-standardization-to-win-the-geothermal-race/">Ormat Bets on Standardization to Win the Geothermal Race</a> appeared first on <a href="https://www.powermag.com">POWER Magazine</a>.</p> <p><i”
Developer portal
面向公众的文档证实了 Tericpower 作为专业能源存储开发合作伙伴的市场地位，向买家保证底层数据来自具有深厚领域专业知识的来源。
IoT / sensor data
该公司证实其运营着七个独立的电池储能系统 (BESS)，提供多站点连续物联网数据源，这对于训练和验证强大的预测模型至关重要。
Industrial data
Tericpower 在BESS 优化方面的既定专业知识表明，该数据集捕获了广泛的运营场景，能够开发出超越简单故障预测的复杂模型，以提高资产性能。
Event streams
该公司在一个关键地区的市场主导地位证实了该数据集的专有性质，捕获了来自大多数公用事业规模电池项目的独特事件流，这是竞争对手无法复制的。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for use in developing and training predictive maintenance models. Specific usage restrictions to be detailed in the full license agreement.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This proprietary, high-rarity industrial sensor time-series data from operational BESS sites is highly valuable for predictive maintenance, a rapidly growing market segment. The real-time freshness and moderate volume from seven sites support its premium valuation.
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Tericpower Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $14.09 billion in 2025, CAGR 34.14% (source: Mordor Intelligence). Investment score 77.8/100 (confidence 0.56). Recommended action: Acquire.
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